Triple

T19156901
Position Surface form Disambiguated ID Type / Status
Subject Équateur Province E468948 entity
Predicate succeededBy P78 FINISHED
Object Nord-Ubangi Province NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nord-Ubangi Province | Statement: [Équateur Province, succeededBy, Nord-Ubangi Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nord-Ubangi Province
Context triple: [Équateur Province, succeededBy, Nord-Ubangi Province]
  • A. Lualaba Province
    Lualaba Province is an administrative region in the southeastern Democratic Republic of the Congo known for its rich mineral resources and strategic location along the upper Congo River basin.
  • B. Bas-Uélé Province
    Bas-Uélé Province is a sparsely populated, forested province in the northern Democratic Republic of the Congo, bordering the Central African Republic and known for its remote rural communities and biodiversity.
  • C. Haut-Uélé Province
    Haut-Uélé Province is a northeastern province of the Democratic Republic of the Congo known for its remote, sparsely populated territory and history of conflict and mineral exploitation.
  • D. Ogooué-Ivindo Province
    Ogooué-Ivindo Province is a sparsely populated, heavily forested region in northeastern Gabon known for its rich biodiversity and major protected areas.
  • E. Kasai-Occidental Province
    Kasai-Occidental Province was a former administrative region in the south-central Democratic Republic of the Congo, known for its rural communities and as the site of a 2007 Ebola virus outbreak.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nord-Ubangi Province
Target entity description: Nord-Ubangi Province is an administrative province in the northwestern Democratic Republic of the Congo, created during the country's territorial reorganization in the 2010s.
  • A. Lualaba Province
    Lualaba Province is an administrative region in the southeastern Democratic Republic of the Congo known for its rich mineral resources and strategic location along the upper Congo River basin.
  • B. Bas-Uélé Province
    Bas-Uélé Province is a sparsely populated, forested province in the northern Democratic Republic of the Congo, bordering the Central African Republic and known for its remote rural communities and biodiversity.
  • C. Haut-Uélé Province
    Haut-Uélé Province is a northeastern province of the Democratic Republic of the Congo known for its remote, sparsely populated territory and history of conflict and mineral exploitation.
  • D. Ogooué-Ivindo Province
    Ogooué-Ivindo Province is a sparsely populated, heavily forested region in northeastern Gabon known for its rich biodiversity and major protected areas.
  • E. Kasai-Occidental Province
    Kasai-Occidental Province was a former administrative region in the south-central Democratic Republic of the Congo, known for its rural communities and as the site of a 2007 Ebola virus outbreak.
  • F. None of above. chosen

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb9cf9081908b17073755e83554 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.